{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7BZHOm2KjO7A"
   },
   "source": [
    "# GANs In Action\n",
    "## Chapter 2: Autoencoder\n",
    "This is the accompanying code for the upcoming book _GANs in Action Deep Learning with Generative Adversarial Networks (GANs)_ by Manning Books. \n",
    "\n",
    "This tutorial was adapted from the [following tutorial](https://github.com/keras-team/keras/blob/master/examples/variational_autoencoder.py), which was published under MIT license.\n",
    "\n",
    "## Why Colab?\n",
    "Google Colabotary is an amazing way to run [Jupyter notebooks](http://jupyter.org) online, sprinkled on top with some Google goodness. We chose this environment, because it is compatible with the industry standard Jupyter notebooks but can be run by anyone with zero setup. But you are free to switch between the two commands as required.\n",
    "\n",
    "## Why autoencoders? \n",
    "Well for that you'd need to buy the book ;) \n",
    "\n",
    "## Let's get started! \n",
    "And the only way to get started is with imports!\n",
    "\n",
    "For reference, this code was checked with Keras as late as `2.2.4` and Tensorflow as late as `1.12.0`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 68
    },
    "colab_type": "code",
    "id": "zYcbYxM0xOGC",
    "outputId": "69d94d22-9823-46cd-db5c-4d028dd207f0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from scipy.stats import norm\n",
    "import tensorflow as tf\n",
    "\n",
    "from keras.layers import Input, Dense, Lambda, Reshape\n",
    "from keras.models import Model\n",
    "from keras import backend as K\n",
    "from keras import metrics\n",
    "from keras.datasets import mnist"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "7AeRAZq75QD3"
   },
   "source": [
    "## Next let's define some key variables.\n",
    "We explain their meaning more in Chapter 2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "Q9FM7SZx5s3h"
   },
   "outputs": [],
   "source": [
    "# defining the key parameters\n",
    "batch_size = 100\n",
    "original_dim = 784\n",
    "latent_dim = 2\n",
    "intermediate_dim = 256\n",
    "epochs = 50\n",
    "epsilon_std = 1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "sp_LMhZYzEpB"
   },
   "source": [
    "## Define sampling helper function. \n",
    "\n",
    "As per [PEP484](https://www.python.org/dev/peps/pep-0484/) we define typehints for this function. \n",
    "\n",
    "Args have to be a tuple, because we ultimately want to use this as a [Lambda function](https://www.youtube.com/watch?time_continue=48&v=CPFKJRNAje8) or also called \"Annoymous functions\", but you didn't hear that from me ;) \n",
    "\n",
    "Remember that Lambda defines yet another function so we basically just defined two functions in the code below.\n",
    "\n",
    "The implementation that follows is inspired by Branko Blagojevic in our book forums. [Thank you for this suggestion](https://forums.manning.com/posts/list/45083.page)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "mDPPIEiXzEBu"
   },
   "outputs": [],
   "source": [
    "def sampling(args: tuple):\n",
    "    # we grab the variables from the tuple\n",
    "    z_mean, z_log_var = args\n",
    "    epsilon = K.random_normal(shape=(K.shape(z_mean)[0], latent_dim), mean=0.,\n",
    "                              stddev=epsilon_std)\n",
    "    return z_mean + K.exp(z_log_var / 2) * epsilon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "pfuuDVVVuKyQ"
   },
   "source": [
    "# Defining the encoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 323
    },
    "colab_type": "code",
    "id": "ydnJ1yiplbSD",
    "outputId": "520c73dd-1829-4bf2-cf70-15b0a5ff14b0"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Logging before flag parsing goes to stderr.\n",
      "W0811 10:11:49.597637 4494828992 deprecation_wrapper.py:119] From /miniconda3/envs/b37/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:517: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.\n",
      "\n",
      "W0811 10:11:49.690418 4494828992 deprecation_wrapper.py:119] From /miniconda3/envs/b37/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:4138: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
      "\n",
      "W0811 10:11:49.800569 4494828992 deprecation_wrapper.py:119] From /miniconda3/envs/b37/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:74: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.\n",
      "\n",
      "W0811 10:11:49.830640 4494828992 deprecation_wrapper.py:119] From /miniconda3/envs/b37/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:4115: The name tf.random_normal is deprecated. Please use tf.random.normal instead.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input (InputLayer)              (None, 784)          0                                            \n",
      "__________________________________________________________________________________________________\n",
      "encoding (Dense)                (None, 256)          200960      input[0][0]                      \n",
      "__________________________________________________________________________________________________\n",
      "mean (Dense)                    (None, 2)            514         encoding[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "log-variance (Dense)            (None, 2)            514         encoding[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "lambda_1 (Lambda)               (None, 2)            0           mean[0][0]                       \n",
      "                                                                 log-variance[0][0]               \n",
      "==================================================================================================\n",
      "Total params: 201,988\n",
      "Trainable params: 201,988\n",
      "Non-trainable params: 0\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# input to our encoder\n",
    "x = Input(shape=(original_dim,), name=\"input\")\n",
    "# intermediate layer\n",
    "h = Dense(intermediate_dim, activation='relu', name=\"encoding\")(x)\n",
    "# defining the mean of the latent space\n",
    "z_mean = Dense(latent_dim, name=\"mean\")(h)\n",
    "# defining the log variance of the latent space\n",
    "z_log_var = Dense(latent_dim, name=\"log-variance\")(h)\n",
    "# note that \"output_shape\" isn't necessary with the TensorFlow backend\n",
    "z = Lambda(sampling, output_shape=(latent_dim,))([z_mean, z_log_var])\n",
    "# defining the encoder as a keras model\n",
    "encoder = Model(x, [z_mean, z_log_var, z], name=\"encoder\")\n",
    "# print out summary of what we just did\n",
    "encoder.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "ppB96OxcuNhj"
   },
   "source": [
    "# Defining the decoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "colab_type": "code",
    "id": "6QY4votKyzt4",
    "outputId": "daa56ba0-cda1-497d-e55e-1c60b3ba0ceb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "decoder_input (InputLayer)   (None, 2)                 0         \n",
      "_________________________________________________________________\n",
      "decoder_h (Dense)            (None, 256)               768       \n",
      "_________________________________________________________________\n",
      "flat_decoded (Dense)         (None, 784)               201488    \n",
      "=================================================================\n",
      "Total params: 202,256\n",
      "Trainable params: 202,256\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# Input to the decoder\n",
    "input_decoder = Input(shape=(latent_dim,), name=\"decoder_input\")\n",
    "# taking the latent space to intermediate dimension\n",
    "decoder_h = Dense(intermediate_dim, activation='relu', name=\"decoder_h\")(input_decoder)\n",
    "# getting the mean from the original dimension\n",
    "x_decoded = Dense(original_dim, activation='sigmoid', name=\"flat_decoded\")(decoder_h)\n",
    "# defining the decoder as a keras model\n",
    "decoder = Model(input_decoder, x_decoded, name=\"decoder\")\n",
    "decoder.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "9z4rTgY90vOn"
   },
   "source": [
    "## Now let's define the Variational Autoencoder (VAE)\n",
    "We use the encoder and decoder objects names from above. \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "colab_type": "code",
    "id": "8lcPyeaa1Lyj",
    "outputId": "29efe672-f6da-43d3-dae6-e265a7b30b19"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           (None, 784)               0         \n",
      "_________________________________________________________________\n",
      "encoder (Model)              [(None, 2), (None, 2), (N 201988    \n",
      "_________________________________________________________________\n",
      "decoder (Model)              (None, 784)               202256    \n",
      "=================================================================\n",
      "Total params: 404,244\n",
      "Trainable params: 404,244\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "# grab the output. Recall, that we need to grab the 3rd element our sampling z\n",
    "output_combined = decoder(encoder(x)[2])\n",
    "# link the input and the overall output\n",
    "vae = Model(x, output_combined)\n",
    "# print out what the overall model looks like\n",
    "vae.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "WhLH1mHh1NWL"
   },
   "source": [
    "## Colab hints\n",
    "In the same way as with Jupyter notebook, we can ask for help if we do not know an object and it shows us the doc string. In case this was a suprise, or would like to know more about Colab, everyone gets \"Intro to Colab\" automatically into their GDrive when they start using Colab."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "purvAeE-1mI1"
   },
   "outputs": [],
   "source": [
    "Model??"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "x-rqoFMF08VQ"
   },
   "source": [
    "## Read the doc string!\n",
    "We find out that Model inherits from `Container` and is the way that Keras likes to thing of a fully parametrized model, similar to [sklearn](http://scikit-learn.org/stable/index.html) that gives you loads of useful methods that you can read about in the doc string. For data scientists, this should put you into well understood territory.\n",
    "\n",
    "## Define the losses and run the model!\n",
    "We touch on [KL loss](https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence) and the [cross-entropy loss](https://en.wikipedia.org/wiki/Cross_entropy) (`xent_loss`) throughout the book, but these do not need to be familiar terms, as long as you understand the notion of a loss in machine learning."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "j6tV3UZqIneE"
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 238
    },
    "colab_type": "code",
    "id": "lRtcC6sx3lr5",
    "outputId": "53784031-6a82-4092-a525-54466bb8761a"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "W0811 10:12:11.875923 4494828992 deprecation_wrapper.py:119] From /miniconda3/envs/b37/lib/python3.7/site-packages/keras/optimizers.py:790: The name tf.train.Optimizer is deprecated. Please use tf.compat.v1.train.Optimizer instead.\n",
      "\n",
      "W0811 10:12:11.900446 4494828992 deprecation_wrapper.py:119] From /miniconda3/envs/b37/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py:3376: The name tf.log is deprecated. Please use tf.math.log instead.\n",
      "\n",
      "W0811 10:12:11.907361 4494828992 deprecation.py:323] From /miniconda3/envs/b37/lib/python3.7/site-packages/tensorflow/python/ops/nn_impl.py:180: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.where in 2.0, which has the same broadcast rule as np.where\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input (InputLayer)           (None, 784)               0         \n",
      "_________________________________________________________________\n",
      "encoder (Model)              [(None, 2), (None, 2), (N 201988    \n",
      "_________________________________________________________________\n",
      "decoder (Model)              (None, 784)               202256    \n",
      "=================================================================\n",
      "Total params: 404,244\n",
      "Trainable params: 404,244\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "def vae_loss(x: tf.Tensor, x_decoded_mean: tf.Tensor,\n",
    "            z_log_var=z_log_var, z_mean=z_mean,\n",
    "            original_dim=original_dim):\n",
    "    xent_loss = original_dim * metrics.binary_crossentropy(x, x_decoded_mean)\n",
    "    kl_loss = - 0.5 * K.sum(\n",
    "        1 + z_log_var - K.square(z_mean) - K.exp(z_log_var), axis=-1)\n",
    "    vae_loss = K.mean(xent_loss + kl_loss)\n",
    "    return vae_loss\n",
    "\n",
    "vae.compile(optimizer='rmsprop', loss=vae_loss)\n",
    "vae.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "XdSv_VTr314l"
   },
   "source": [
    "## Let's take a look at the Keras' representation of the model\n",
    "We can see above that the model has roughly the structure we expect:\n",
    "\n",
    "784-> `latent_dim` -> 2 Gaussian parameters -> `latent_dim` -> 768.\n",
    "\n",
    "Plus some extra things on top.\n",
    "\n",
    "## It would not be Data Science, without _data_.\n",
    "Let's load and clean the only dataset there is, apparently: MNIST.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "NG14F5ulEUo7"
   },
   "outputs": [],
   "source": [
    "(x_train, y_train), (x_test, y_test) = mnist.load_data()\n",
    "\n",
    "x_train = x_train.astype('float32') / 255.\n",
    "x_test = x_test.astype('float32') / 255.\n",
    "x_train = x_train.reshape((len(x_train), np.prod(x_train.shape[1:])))\n",
    "x_test = x_test.reshape((len(x_test), np.prod(x_test.shape[1:])))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1734
    },
    "colab_type": "code",
    "id": "2d26Ep5Y4UWe",
    "outputId": "ba9ddaa5-313b-4baa-f056-fa5489a6b7b5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "60000/60000 [==============================] - 12s 202us/step - loss: 190.4068\n",
      "Epoch 2/50\n",
      "60000/60000 [==============================] - 9s 150us/step - loss: 169.8990\n",
      "Epoch 3/50\n",
      "60000/60000 [==============================] - 10s 173us/step - loss: 166.4429\n",
      "Epoch 4/50\n",
      "60000/60000 [==============================] - 9s 154us/step - loss: 164.3855\n",
      "Epoch 5/50\n",
      "60000/60000 [==============================] - 8s 141us/step - loss: 162.9596\n",
      "Epoch 6/50\n",
      "60000/60000 [==============================] - 9s 143us/step - loss: 161.7860\n",
      "Epoch 7/50\n",
      "60000/60000 [==============================] - 10s 163us/step - loss: 160.7247\n",
      "Epoch 8/50\n",
      "60000/60000 [==============================] - 11s 181us/step - loss: 159.6941\n",
      "Epoch 9/50\n",
      "60000/60000 [==============================] - 11s 184us/step - loss: 158.6792\n",
      "Epoch 10/50\n",
      "60000/60000 [==============================] - 9s 148us/step - loss: 157.7654\n",
      "Epoch 11/50\n",
      "60000/60000 [==============================] - 9s 157us/step - loss: 157.0407\n",
      "Epoch 12/50\n",
      "60000/60000 [==============================] - 10s 173us/step - loss: 156.3935\n",
      "Epoch 13/50\n",
      "60000/60000 [==============================] - 10s 165us/step - loss: 155.8233\n",
      "Epoch 14/50\n",
      "60000/60000 [==============================] - 10s 175us/step - loss: 155.3412\n",
      "Epoch 15/50\n",
      "60000/60000 [==============================] - 10s 168us/step - loss: 154.9059\n",
      "Epoch 16/50\n",
      "60000/60000 [==============================] - 9s 154us/step - loss: 154.5345\n",
      "Epoch 17/50\n",
      "60000/60000 [==============================] - 9s 156us/step - loss: 154.2023\n",
      "Epoch 18/50\n",
      "60000/60000 [==============================] - 10s 159us/step - loss: 153.8797\n",
      "Epoch 19/50\n",
      "60000/60000 [==============================] - 9s 155us/step - loss: 153.5710\n",
      "Epoch 20/50\n",
      "60000/60000 [==============================] - 12s 197us/step - loss: 153.3075\n",
      "Epoch 21/50\n",
      "60000/60000 [==============================] - 13s 224us/step - loss: 153.0391\n",
      "Epoch 22/50\n",
      "60000/60000 [==============================] - 12s 202us/step - loss: 152.8504\n",
      "Epoch 23/50\n",
      "60000/60000 [==============================] - 11s 187us/step - loss: 152.6182\n",
      "Epoch 24/50\n",
      "60000/60000 [==============================] - 10s 172us/step - loss: 152.3852\n",
      "Epoch 25/50\n",
      "60000/60000 [==============================] - 11s 184us/step - loss: 152.1763\n",
      "Epoch 26/50\n",
      "60000/60000 [==============================] - 11s 181us/step - loss: 152.0249\n",
      "Epoch 27/50\n",
      "60000/60000 [==============================] - 11s 191us/step - loss: 151.8461\n",
      "Epoch 28/50\n",
      "60000/60000 [==============================] - 10s 163us/step - loss: 151.6442\n",
      "Epoch 29/50\n",
      "60000/60000 [==============================] - 11s 179us/step - loss: 151.5172\n",
      "Epoch 30/50\n",
      "60000/60000 [==============================] - 10s 165us/step - loss: 151.3355\n",
      "Epoch 31/50\n",
      "60000/60000 [==============================] - 12s 203us/step - loss: 151.1958\n",
      "Epoch 32/50\n",
      "60000/60000 [==============================] - 11s 183us/step - loss: 151.0676\n",
      "Epoch 33/50\n",
      "60000/60000 [==============================] - 11s 183us/step - loss: 150.9316\n",
      "Epoch 34/50\n",
      "60000/60000 [==============================] - 11s 187us/step - loss: 150.7938\n",
      "Epoch 35/50\n",
      "60000/60000 [==============================] - 11s 177us/step - loss: 150.6810\n",
      "Epoch 36/50\n",
      "60000/60000 [==============================] - 11s 176us/step - loss: 150.5494\n",
      "Epoch 37/50\n",
      "60000/60000 [==============================] - 11s 178us/step - loss: 150.4401\n",
      "Epoch 38/50\n",
      "60000/60000 [==============================] - 11s 189us/step - loss: 150.3142\n",
      "Epoch 39/50\n",
      "60000/60000 [==============================] - 10s 172us/step - loss: 150.2329\n",
      "Epoch 40/50\n",
      "60000/60000 [==============================] - 10s 175us/step - loss: 150.1099\n",
      "Epoch 41/50\n",
      "60000/60000 [==============================] - 10s 174us/step - loss: 149.9728\n",
      "Epoch 42/50\n",
      "60000/60000 [==============================] - 11s 185us/step - loss: 149.8910\n",
      "Epoch 43/50\n",
      "60000/60000 [==============================] - 11s 179us/step - loss: 149.7858\n",
      "Epoch 44/50\n",
      "60000/60000 [==============================] - 10s 172us/step - loss: 149.7159\n",
      "Epoch 45/50\n",
      "60000/60000 [==============================] - 10s 171us/step - loss: 149.5950\n",
      "Epoch 46/50\n",
      "60000/60000 [==============================] - 10s 170us/step - loss: 149.5356\n",
      "Epoch 47/50\n",
      "60000/60000 [==============================] - 12s 193us/step - loss: 149.4512\n",
      "Epoch 48/50\n",
      "60000/60000 [==============================] - 10s 175us/step - loss: 149.3335\n",
      "Epoch 49/50\n",
      "60000/60000 [==============================] - 11s 177us/step - loss: 149.2730\n",
      "Epoch 50/50\n",
      "60000/60000 [==============================] - 11s 180us/step - loss: 149.1916\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x1375ef3c8>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vae.fit(x_train, x_train,\n",
    "        shuffle=True,\n",
    "        epochs=epochs,\n",
    "        batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "D78fY1104l-m"
   },
   "source": [
    "## Next we grab just the \"data-generating\" part of the model. \n",
    "In the book we explained how we generate the new images in Figure 2.3.\n",
    "\n",
    "We will now generate the Figure in 2.6. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 378
    },
    "colab_type": "code",
    "id": "7V74Wh4o7M33",
    "outputId": "2de47c87-5373-4903-cd4a-adac081c64eb"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a 2D plot of the digit classes in the latent space\n",
    "x_test_encoded = encoder.predict(x_test, batch_size=batch_size)[0]\n",
    "plt.figure(figsize=(6, 6))\n",
    "plt.scatter(x_test_encoded[:,0], x_test_encoded[:,1], c=y_test, cmap='viridis')\n",
    "plt.colorbar()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "k304pkXK7WyC"
   },
   "source": [
    "## Last but not least, let's generate Figure 2.7.\n",
    "\n",
    "The only tricky part here is that we have to create a grid over which we interpolate. Which we do by using `np.linspace`, which enables us to move between `min` and `max` value in `step_size`. \n",
    "\n",
    "We then just generate a digit for each sample in the for loop and display!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 595
    },
    "colab_type": "code",
    "id": "U4aXzqvtyLvg",
    "outputId": "d12c7831-a662-434b-bbc8-dd2e74c2ab90"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# display a 2D manifold of the digits\n",
    "n = 15  # figure with 15x15 digits\n",
    "digit_size = 28\n",
    "figure = np.zeros((digit_size * n, digit_size * n))\n",
    "# linearly spaced coordinates on the unit square were transformed through the inverse CDF (ppf) of the Gaussian\n",
    "# to produce values of the latent variables z, since the prior of the latent space is Gaussian\n",
    "grid_x = norm.ppf(np.linspace(0.05, 0.95, n))\n",
    "grid_y = norm.ppf(np.linspace(0.05, 0.95, n))\n",
    "\n",
    "for i, yi in enumerate(grid_x):\n",
    "    for j, xi in enumerate(grid_y):\n",
    "        z_sample = np.array([[xi, yi]])\n",
    "        x_decoded = decoder.predict(z_sample)\n",
    "        digit = x_decoded[0].reshape(digit_size, digit_size)\n",
    "        figure[i * digit_size: (i + 1) * digit_size,\n",
    "               j * digit_size: (j + 1) * digit_size] = digit\n",
    "\n",
    "plt.figure(figsize=(10, 10))\n",
    "plt.imshow(figure, cmap='Greys_r')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "name": "Ch2: Autoencoder",
   "provenance": [],
   "version": "0.3.2"
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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